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1.发明申请公开(公告)号：US20230123664A1
公开(公告)日：2023-04-20
申请号：US17921102
申请日：2021-04-23
发明人： Hui LIU , Hang ZHANG , Wenjin YUAN , Zhiwei HUANG , Hao ZHANG
摘要： A method for stitching images of a capsule endoscope, an electronic device, and a readable storage medium are provided. The method comprises: performing image rectification and circular edge masking on original images to form pre-processed images, and performing image enhancement (S1); completing detection and pairing of feature points (S2); calculating a transformation model of all pre-processed images to a same optimal plane according to a set of the feature points (S3); performing projective transformation for each enhanced image to a same coordinate system (S4); and stitching images according to an obtained sequence to form a fused image for output (S5), thus expanding the field of view of a single image of the capsule endoscope.
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公开(公告)号：US20240303782A1
公开(公告)日：2024-09-12
申请号：US18263882
申请日：2022-01-10
发明人： Hua YANG , Tianyi YANGDAI , Hui LIU , Hao ZHANG
CPC分类号： G06T5/70 , G06T3/40 , G06T5/20 , G06T5/50 , G06T5/73 , G06T5/94 , G06T2207/10024 , G06T2207/20016 , G06T2207/30004
摘要： An image processing method, an electronic device, and a readable storage medium are provided. The method includes: obtaining an original image; denoising the original image using an image filtering algorithm to form a preprocessed image S; performing contrast enhancement in the preprocessed image S to form a contrast-enhanced image J; adjusting saturation of the contrast-enhanced image J to form an enhanced display image M; sharpening the enhanced display image M to form a sharpened image N; and performing dynamic range enhancement on the sharpened image N using a dynamic range image enhancement algorithm to form an output image. The image processing method, electronic device, and readable storage medium enable multi-level processing on the original image and improve the display accuracy of the output image.
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3.发明公开公开(公告)号：US20240054662A1
公开(公告)日：2024-02-15
申请号：US18268239
申请日：2021-11-23
发明人： Hui LIU , Wenjin YUAN , Hang ZHANG , Hao ZHANG
CPC分类号： G06T7/337 , G06T7/85 , G06T7/593 , G06T7/0014 , A61B1/041 , A61B1/00009 , G06T2207/10012 , G06T2207/30096 , G06T2207/10068 , G06T2207/30028
摘要： The present invention provides a three-dimensional reconstruction method of a capsule endoscope image, an electronic device, and a readable storage medium, which combines two algorithms for obtaining image depth information values to improve the calculation accuracy of image depth information values, and thus to increase the image three-dimensional reconstruction rate and improve the image identification precision.
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4.发明公开公开(公告)号：US20240070858A1
公开(公告)日：2024-02-29
申请号：US18260528
申请日：2021-12-14
发明人： Hang ZHANG , Hao ZHANG , Wenjin YUAN , Chukang ZHANG , Hui LIU , Zhiwei HUANG
IPC分类号： G06T7/00 , G06T5/20 , G06T7/11 , G06T7/20 , G06V10/764 , G06V10/771
CPC分类号： G06T7/0012 , G06T5/20 , G06T7/11 , G06T7/20 , G06V10/764 , G06V10/771 , G06T2207/10068 , G06T2207/20084
摘要： A capsule endoscope image recognition method based on deep learning, and a device and a medium is provided. After a plurality of frames of continuously captured images are processed to form an image sequence of a specific format, multi-channel recognition is performed on the plurality of frames of images by means of a 3D convolutional neural network model, and a recognition result is then output in combination with a recognition probability of each channel, such that the image recognition precision is improved.
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公开(公告)号：US20210219829A1
公开(公告)日：2021-07-22
申请号：US17150969
申请日：2021-01-15
发明人： Hui LIU , Wenjin YUAN , HANG ZHANG , Zhiwei HUANG , Hao ZHANG
摘要： The present invention discloses a capsule endoscope system, a method of identifying stained area in endoscopic images, and a computer readable storage medium. The method comprises: obtaining a basic image taken by a photographing device; removing abnormal pixels from the basic image and recording it as a processed image; obtaining the hue, saturation and value of each pixel in the processed image of HSV format; setting a first condition that the hue is in a D1 range, the saturation is in a D2 range, and the value is in a D3 range; obtaining the b component of each pixel in the processed image of Lab format; setting a second condition that the b component is in a D4 range; collecting and processing the pixels that meet the first condition and/or the second condition to form a set C; calculating the initial range area S1 of the set C.
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6.发明公开公开(公告)号：US20240029243A1
公开(公告)日：2024-01-25
申请号：US18027921
申请日：2021-09-17
发明人： Hui LIU , Hang ZHANG , Wenjin YUAN , Zhiwei HUANG , Hao ZHANG
CPC分类号： G06T7/0012 , G06T5/10 , G06V10/56 , G06V10/60 , G06T2207/10068 , G06T2207/20052 , G06T2207/20132 , G06T2207/30168
摘要： A referenceless image evaluation method for a capsule endoscope, an electronic device, and a medium. The method comprises: acquiring image quality evaluation scores and image content evaluation scores corresponding to respective original images; and determining, according to weights of the image content evaluation scores and weights of the image quality evaluation scores, a comprehensive score for each image currently being evaluated. The referenceless image evaluation method for a capsule endoscope employs various evaluation models to evaluate the image quality and content of a number of original images taken in the same detection region. The results of these evaluations are then combined to produce comprehensive scores for the numerous original images of the same region. Through the comprehensive scores, high-quality images can be quickly screened out, and thus the screening of the original images can be accelerated and the identification accuracy be improved.
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